Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Long Term
Skills
python
Azure Databricks
and MLOps
Job Details
Position : MLOps Engineer
Location: Onsite (Berkeley heights, NJ)
Duration: Long Term
Mode of Interview : Telephonic/Video
Job Description: Need at least 10 Plus Years candidates Only.
We are seeking a skilled MLOps Engineer with hands-on experience in Azure Databricks, Python, and MLOps best practices. You will be responsible for designing, building, and maintaining scalable ML pipelines and deployment infrastructure to streamline the end-to-end machine learning lifecycle.
Required Skills & Experience:
- 8+ years of experience in MLOps, data engineering, or ML infrastructure roles.
- Strong hands-on experience with Azure Databricks, including notebooks, jobs, and MLflow.
- Proficient in Python for scripting, automation, and ML-related tasks.
- Experience with MLOps frameworks (e.g., MLflow, TFX) and pipeline orchestration tools (e.g., Airflow, Azure ML Pipelines).
- Experience with containerization (Docker) and version control (Git).
- Familiarity with cloud-based ML model deployment and monitoring best practices.
- Solid understanding of machine learning lifecycle and DevOps principles.
Preferred Skills:
- Experience with Azure ML, Azure DevOps, or Terraform for infrastructure automation.
- Familiarity with Delta Lake, Spark, and data lake architectures.
- Exposure to model explainability, governance, and compliance tools.
- Strong communication and collaboration skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.